Msw Generated Prediction Optimization Study, The Transfer Station Site

It is significant that the accurate prediction of municipal solid waste output which provides important reference data such as the department of environment sanitation arranging waste transporters and environment sanitation workers, the establishment of municipal waste transferring station and landfill sites, etc. The reasonable position of the transferring station can greatly reduce the distance and cost of transport.This paper takes the Chenggong New city and old Kunming City as examples for the forecast of municipal solid waste output. With the plan of the new modern Kunming coming on, most area of Chenggong County will become part of new Kunming. Lots of people will live in the new city after its establishment. Therefore, the output of municipal solid waste will markedly increase with the increase of the population.Because it is similar to the old Kunming City that the structure of fuel and consumption, the standards of living, urban plan and geography factors in the new city. It can be used for forecasting the waste output of municipal solid waste in Chenggong new city by analogy. The main mathematic models used in the paper for the prediction of municipal solid waste output are linear regression models and grey model. Comparing with the three models, the model of the smaller error and feasibility will be selected. In addition, the forecast on waste output of Chenggong County is mainly based on the analog analysis of Kunming city. The final results of Chenggong new city in 2020 are the following points: The output of waste is 3.63×105t/a or 994.52t/d or 1.07 kg/d per person.The site optimization of waste transferring stations in Chenggong new city is obtained by the minimum total cost model of the transport systems. In Chenggong new city, the points which accord with the conditions are selected as treating points, and then the final chosen points are determined by the optimization results of the model. The results of the choice are 1#, 2#, 3#, 4#, 5#, 6#, 8# and 9# points. The selected transferring station sites were: 160t/d, 160t/d, 160t/d, 120t/d, 160t/d, 120t/d, 80t/d and 40t/d. The total cost is 211,640,000 Yuan. Linear regression models, grey model and the model with minimum total cost of transport systems were used to solve some problems, such as the site optimization of waste transferring stations and the forecast of municipal solid waste output. However, these analyses are preliminary. Other better models can be chosen to research further the twoabove problems on the basis of more detailed survey data.According to the above results, some reference suggestions on the site optimization of waste transferring stations and the forecast of municipal solid waste output are proposed.